Method of optical measurements for determining various parameters of the patient&#39;s blood

ABSTRACT

A method for optical measurements of desired parameters of the patient&#39;s blood is presented. A state of the blood flow cessation is provided within a measurement region and maintained during a predetermined time period. Measurement sessions are performed within this predetermined time period. Each measurement session includes at least two measurements with different wavelengths of incident light. Obtained measured data is representative of the time dependence of light response of the blood in the measurement region. The analyses of the measured data enables the determination of the desired blood parameters extracted from optical characteristics associated with the erythrocytes aggregation process during the state of the blood flow cessation.

RELATED APPLICATIONS

This is a continuation of parent application Ser. No. 10/168,951, filed on Nov. 5, 2002 now U.S. Pat. No. 6,711,424, of which the international application PCT/IL99/00694, was filed Dec. 22, 1999, the contents of which are respectfully incorporated by reference.

FIELD OF THE INVENTION

This invention is in the field of optical measuring techniques and relates to a method for determining desired parameters of the patient's blood, for example, the concentration of a substance in blood, such as glucose, hemoglobin, drugs or cholesterol, or other important blood parameters such as oxygen saturation. The invention is particularly useful for non-invasive measurements.

BACKGROUND OF THE INVENTION

Optical methods of determining the chemical composition of blood are typically based on spectrophotometric measurements enabling the indication of the presence of various blood constituents based on known spectral behaviors of these constituents. These spectrophotometric measurements may be effected either in vitro or in vivo. The measurements in vitro are invasive, i.e. require a blood sample to be physically withdrawn and examined. At present, these measurements have become unpopular, due to the increasing danger of infection.

The non-invasive optical measurements in vivo may be briefly divided into two main groups based on different methodological concepts. The first group represents a so-called “DC measurement technique”, and the second group is called “AC measurement technique”.

According to the DC measurement technique, any desired location of a blood perfused tissue is illuminated by the light of a predetermined spectral range, and the tissue reflection and/or transmission effect is studied. Although this technique provides a relatively high signal-to-noise ratio, as compared to the AC measurement technique, the results of such measurements depend on all the spectrally active components of the tissue (i.e. skin, blood, muscles, fat, etc.), and therefore need to be further processed to separate the “blood signals” from the detected signals. Moreover, proportions of the known components vary from person to person and from time to time. To resolve this problem, calibration must periodically be provided, which constitutes an invasive blood test and therefore renders the DC technique of optical measurements to be actually invasive.

The AC measurement technique focuses on measuring only the “blood signal” of a blood perfused tissue illuminated by a predetermined range of wavelengths. To this end, what is actually measured is a time-dependent component only of the total light reflection or light transmission signal obtained from the tissue. A typical example of the AC measurement technique is the known method of pulse oximetry, wherein a pulsatile component of the optical signal obtained from a blood perfused tissue is utilized for determining arterial blood oxygen saturation. In other words, the difference in light absorption of the tissue measured during the systole and the diastole is considered to be caused by blood that is pumped into the tissue during the systole phase from arterial vessels, and therefore has the same oxygen saturation as in the central arterial vessels.

The major drawback of the AC measurement technique is its relatively low signal-to-noise ratio, especially in cases where an individual has a poor cardiac output, insufficient for providing a pulsatile signal suitable for accurate measurements.

Various methods have been suggested to enhance the natural pulsatile signal of an individual for effecting non-invasive optical measurements, and are disclosed for example in the following patents: U.S. Pat. No. 4,883,055; U.S. Pat. No. 4,927,264; and U.S. Pat. No. 5,638,816. All these techniques utilize the artificially induced volumetric changes of either arterial or venous blood. Since each of these techniques is specific about the kind of blood under test, they all impose severe restrictions on the value of the artificially applied pressure. This is due to different “disturbing pressure values” allowed for different kinds of blood flow. It means that for each kind of blood flow, there is a pressure value that disturbs specifically this kind of flow much more than any other kind. For example, when the artificial pressure at a value of 60 mmHg is applied to a proximal body part, the venous blood flow will be affected, whereas the arterial blood flow will not be affected, since the individual's diastolic pressure is usually higher than 60 mmHg. The applied artificial pressure definitely should not exceed pressures causing substantial deformation of the tissue, since only blood flow changes are supposed to be detected by optical measurements, and the measurements are to be effected in synchronism with the artificial pulse. However, if such an artificially induced pulse causes uncontrollable changes of the optical properties of the tissue, these changes cannot be distinguished from those caused by the blood flow fluctuations which are the target of the measurements.

SUMMARY OF THE INVENTION

There is a need in the art to facilitate the determination of various parameters of the patient's blood, by providing a novel method of optical measurements which can be utilized in a non-invasive manner for in vivo determination of such parameters as the concentration of a substance in blood (e.g., hemoglobin, glucose), oxygen saturation, the difference between the refraction indexes of hemoglobin and plasma in the patient's blood, and/or Erythrocyte Aggregation Rate (EAR).

It is a major feature of the present invention to provide such a method that is universal and does not depend on such conditions as concrete kinetics, aggregation shape, etc. which vary from patient to patient.

The present invention takes advantage of the technique disclosed in the co-pending application assigned to the assignee of the present application. The main idea underlying this technique is based on the fact that the light response characteristics (i.e., absorption and/or scattering) of a blood perfused medium dramatically changes when a character of blood flow changes. It has been found by the inventors, that the optical characteristics of a blood perfused fleshy medium (e.g., the patient's finger) start to change in time, when causing blood flow cessation. In other words, once the blood flow cessation state is established, the optical characteristics start to change dramatically, such that they differ from those of the fleshy medium with a normal blood flow by about 25 to 45%, and sometimes even by 60%. Hence, the accuracy (i.e., signal-to-noise ratio) of the optical measurements can be substantially improved by performing at least two timely separated measurement sessions, each including at least two measurements with different wavelengths of incident radiation.

The main idea of the present invention is based on the investigation that the changes of the light response of a blood perfused fleshy medium at the state of the blood flow cessation (either monotonous or not, depending on the wavelength of incident radiation) are caused by the changes of the shape and average size of the scattering centers in the medium, i.e., red blood cells (RBC) aggregation (Rouleaux effect). The main principles of this effect are disclosed, for example, in the article “Quantitative Evaluation of the Rate of Rouleaux Formation of Erythrocytes by Measuring Light Reflection (“Syllectometry”)”, R. Brinkman et al., 1963.

At the state of the blood flow cessation, when there is actually no blood flow, no shear forces prevent the erythrocytes' aggregation process. Hence, the light response (transmission) of the blood perfused fleshy medium undergoing the occlusion, which causes the blood flow cessation, can be considered as the time dependence of scattering in a system with growing scatterers.

Generally, light response of a medium is defined by the scattering and absorption properties of the medium. According to the model of the present invention, at the state of blood flow cessation under proper conditions, the crucial parameter defining the time evolution of the light response is a number of erythrocytes in aggregates. Therefore, it can be concluded that the average size of aggregates also changes with time. The scattering properties of blood depend on the size and shape of aggregates (scatterers). As for the absorption properties, they do not depend on the shape and size of scatterers, but depend only on the volume of the components.

Although the time increase of the size of aggregates for a specific patient is unknown, as well as a concrete geometry of aggregates or concrete RBC's refraction index, there exists a parameter, which is universal and does not significantly depend on concrete kinetics, aggregation shape, etc. This parameter is determined as the parametric slope of the line T_(λ2)(T_(λ1)) (or log T_(λ2)(Log T_(λ1))), wherein T_(λ2) is the time dependence of the transmission of the medium irradiated with the wavelength λ₂, and T_(λ1) is the time dependence of the transmission of the medium irradiated with the wavelength λ₁. This enables the explicit usage of the size of aggregates (i.e., the values that are unknown in experiments in vivo) to be eliminated. The time period considered in the determination of the parametric slope may be the so-called “initial time interval” of the entire time period during which the measurements were made at the blood flow cessation state, or the so-called “asymptotic time interval” that follows the initial time interval. The initial time interval is distinguished from the asymptotic time interval, in that the transmission signals more strongly change with time during this interval, as compared to that of the asymptotic time interval.

To determine the parametric slope aimed at determining a desired parameter of blood, the two wavelengths are selected in accordance with the parameter to be determined. For example, if the hemoglobin concentration is to be determined, the selected wavelengths are in those ranges, where the absorption properties of the hemoglobin and plasma are more sharply expressed, namely, the ranges of 600–1000 nm and 1100–1400 nm. If the oxygen saturation is to be determined, the selected wavelengths lie in the ranges where the difference in the absorption of hemoglobin (Hb) and oxyhemoglobin (HbO2) are more sharply expressed, namely, the ranges of 600–780 nm (HbO2 sensitive range) and 820–980 nm (Hb sensitive range). When dealing with the glucose concentration, the spectral ranges of 1500–1600 nm may be added to the above-mentioned range of 600–1300 nm for selecting the two wavelengths, respectively.

Having determined the parametric slope for a specific patient, a corresponding calibration curve presenting the corresponding parametric slope as the function of the desired parameter is used for determining the desired parameter for the specific patient. The calibration curve, or a set of such curves for different parameters, is previously prepared and stored as reference data. The calibration curve is prepared by applying measurements of the present invention and the conventional ones to different patients, and determining the parametric slope and the desired parameter, respectively. For the determination of oxygen saturation, generally, a calibration curve may be prepared by applying measurements of the present invention to a specific patient, but at the multiple-occlusion mode at the blood flow cessation state in a breath hold experiment.

Additionally, it was found that for one wavelength of the incident radiation the time dependence of transmission signal, i.e., T(t), asymptotically falls, and for the another wavelength it grows. This fact allows for constructing a certain rouleaux geometry factor (RGF). This RGF essentially involves the different time evolutions of light responses at the different wavelengths of incident radiation, and may serve as one of the key-parameters for attributing the measurement results to the certain calibration curve.

The RGF may be constructed in different ways. For example, the RGF can be taken as a certain “cut-off” wavelength λ₀ corresponding to the transmission value staying nearly constant with time. This cut-off wavelength can be determined as the wavelength corresponding to the condition ΔT/Δt=0 (or Δ(log T)/Δt=0). On the other hand, it is known from literature and is theoretically obtainable, that a function K(x(n_(Hb)−n_(pl))), which describes the effects of light diffraction on particles depending on the model used, has several extremum values. Here, x=2πa/λ, a being the erythrocyte size; n_(Hb) is the refraction index of hemoglobin and n_(pl) is the refraction index of liquid surroundings, i.e., plasma, which is similar to water by its optical characteristics. It is also known, and is shown in the description below, that the transmission signal is almost proportional to this function K. It is thus evident that the existence of extremum values of the function K is the physical reason for the cut-off wavelengths appearing. Having determined this cut-off wavelength λ₀, the scattering function K(x(n_(Hb)−n_(pl))) in the particular case (or another relevant diffraction related function) can be used for determining a corresponding value of the parameter as x(n_(Hb)−n_(pl)) and the difference (n_(Hb)−n_(pl)) for a specific patient.

Indeed, since the erythrocyte size, a, and the difference (n_(Hb)−n_(pl)) lie in certain accepted ranges, the ranges for the product x(n_(Hb)−n_(pl)) can be defined. The extremum value of the function K corresponds to a certain value of this product, and to the cut-off wavelength λ₀ which can be determined as described above. Considering that erythrocyte is a biconcave disk or spheroid having its small and long sizes, and that during the aggregation process the erythrocytes adhere to each other along their long surfaces (or in different geometries), at the asymptotic time interval, the actual aggregate size contributing to the scattering after the averaging is equal to the effective transverse size of the aggregate, which in the particular case may be taken, for example, of the order of small size a of the single erythrocyte.

Another example of the RGF may be such a wavelength, λ_(max), that corresponds to such a condition that the ratio Δ(log T)/Δt as the function of wavelength λ has its maximal value. This enables to provide an additional calibration parameter, which is specific for a certain blood condition of a specific patient. Other peculiarities, well defined mathematically, of the ratio Δ(log T)/Δt as the function of wavelength and/or time t enable to characterize the blood conditions of a specific patient, which can be utilized for calibration purposes.

Hence, the knowledge of the RGB for a specific patient enables the determination of the difference (n_(Hb)−n_(pl)) for this patient. The knowledge of this data is very important for diagnostic purposes. For example, it is known that the concentration of glucose affects the difference (n_(Hb)−n_(H2O)). Furthermore, numerous sets of calibration curves can be prepared, wherein each such set corresponds to a certain value of the RGB, and each calibration curve in the set corresponds to a certain blood parameter. This enables to obtain more precise information about the patient's blood.

Generally speaking, the present invention presents a technique for obtaining and analyzing the time changes of the spectral dependence of the light response (transmission) of the patient's blood at the state of blood flow cessation, wherein these changes result from the effect of scattering on particles of different size (erythrocyte aggregates). The state of blood flow cessation is preferably obtained in vivo by applying over-systolic pressure to the patient's blood perfused fleshy medium, e.g., his finger, but can also be obtained in vitro, by providing the flow of the patient's blood sample into a cuvette and occluding the flow for a certain time period.

For the calculation of the optical properties of blood (reflection and transmission coefficients), properties of the entire system should be connected with the scattering and absorption properties of the unit of the system volume. To this end, the scattering and absorption coefficients are evaluated. As indicated above, for blood, the absorption coefficient μ_(abs) does not depend on the shape of particles and their sizes. What does depend on the particle size is the scattering coefficient μ_(scat). This conclusion is true for various models of multiple scattering theories, such as the model of Twersky, diffusion models, model of Hemenger, model of Rogozkin, and Small-Angle model.

There is thus provided according to one aspect of the present invention, a method of optical measurements of at least one desired parameter of a patient's blood, the method comprising the steps of:

-   -   providing a state of blood flow cessation of the patient's blood         within a measurement region, and maintaining the blood-flow         cessation state during a predetermined time period;     -   performing measurement sessions within said predetermined time         period, each measurement session including at least two         measurements with different wavelengths of incident light, and         obtaining measured data representative of the time dependence of         light response of the blood in the measurement region;     -   analyzing the measured data for determining said at least one         desired parameter, extracted from optical characteristics         associated with erythrocytes aggregation process during the         state of the blood flow cessation.

The term “measurement sessions” used herein signifies either timely separated measurements, or continuous measurements over a certain time interval lying within the predetermined time period during which the blood flow cessation state is maintained.

The state of blood flow cessation can be provided by occluding the blood flow within a measurement region of the patient's blood perfused fleshy medium, by applying over systolic pressure to the medium. In this case, the pressure is applied at a first location on the patient's organ, while measurements are applied to a second location downstream of the first location with respect to the direction of normal blood flow. In this case, the measurements start upon detecting the existence of the blood flow cessation state, through preliminary optical measurements. Occlusion is maintained during a predetermined period of time insufficient for irreversible changes in the fleshy medium, ranging generally from one second to several minutes. However, the same measurements can be applied to the patient's blood sample in a cuvette.

The analysis of the measured data may include the determination of a parametric slope for the specific patient, in which case certain reference data is utilized in the form of a calibration curve presenting the parametric slope as a function of values of the desired parameter. For the purposes of this specific application, the different wavelengths are preferably selected in accordance with the blood parameter to be determined. If the concentration of a substance in the patient's blood is to be determined, the use of two different wavelengths is sufficient.

Alternatively or additionally, the analysis of the measured data includes the determination of an RGF. The term “RGF” used herein is a factor characterizing the light response of blood in the state of blood flow cessation as the function of time and wavelengths of incident radiation, associated with the Rouleaux effect, or erythrocytes' aggregation. In this case, the theoretical data indicative of a scattering function K(x(n_(Hb)−n_(pl)) may be used for determining the parameter x(n_(Hb)−n_(pl)) for the specific patient, if the “cut-off” wavelength serves as the RGF. To this end, preferably more than two different wavelengths of incident radiation are used in each measurement session and corresponding time variations of the transmission signals T(t) are measured in order to construct the proper RGF. Then, in the example of the cut-off wavelength, a ratio Δ(log T)/Δt (or ΔT/Δt) as the function of the wavelength λ is determined for the time interval Δt that lies substantially within the asymptotic time interval. The point λ₀ corresponding to the condition Δ(log T)/Δt=0 is the cut-off wavelength of incident radiation corresponding to a certain time stable transmission for a specific patient, which, in turn, corresponds to the extremum of the function K(x(n_(Hb)−n_(pl))), within the accepted range of (x(n_(Hb)−n_(pl))).

Another important parameter that can be obtained through the analysis of the measured data is the EAR, which is determined as the ratio ΔT/Δt or Δ(log T)/Δt. Generally, the use of only one wavelength of incident radiation is sufficient for this specific application. But practically, in order to enable the determination of several different parameters through the single measurement procedure, more than one wavelength is used.

According to another broad aspect of the present invention, there is provided a method of optical measurements of desired parameters of a patient's blood extracted from optical characteristics associated with erythrocytes aggregation process during the state of the blood flow cessation, the method comprising the steps of:

-   -   providing the state of the blood flow cessation within a         measurement region, and maintaining the blood-flow cessation         state during a predetermined time period;     -   performing measurement sessions within said predetermined time         period, each measurement session including at least two         measurements with different wavelengths of incident light, and         obtaining measured data representative of the time dependence of         light response of the blood in the measurement region;     -   analyzing the measured data for determining said at least one         desired parameter, by determining at least one parametric slope         value and a Rouleaux Geometry Factor (RGF) for said patient, the         RGF characterizing the changes of the light response of blood at         the state of the blood flow cessation as the function of time         and wavelengths of the incident radiation, associated with the         erythrocytes' aggregation.

According to yet another broad aspect of the present invention, there is provided a method of optical measurements of at least one desired parameter of blood of a specific patient extracted from optical characteristics associated with erythrocytes aggregation process during the state of blood flow cessation, the method comprising the steps of:

-   -   providing reference data in the form of a function describing         diffraction effects on particles, K(x(n_(Hb)−n_(H2O)), wherein         x=2πa/λ; a is the size of erythrocyte, n_(Hb) is the refraction         index of hemoglobin and n_(pl) is the refraction index of water,         λ is the wavelength of incident radiation;     -   providing the state of the blood flow cessation and maintaining         said state during a predetermined period of time;     -   performing measurement sessions within said predetermined time         period, each measurement session including several measurements         with different wavelengths of incident radiation, and obtaining         measured data representative of the time dependence of light         response signals;     -   analyzing the measured data for determining a Rouleaux Geometry         Factor (RGF) for the specific patient, the RGF characterizing         the changes of the light response of blood at the state of the         blood flow cessation as the function of time and wavelengths of         the incident radiation, associated with the erythrocytes'         aggregation.

According to yet another aspect of the present invention, there is provided a method of optical measurements of at least one desired parameter of blood of a specific patient extracted from optical characteristics associated with erythrocytes aggregation process during the state of blood flow cessation, the method comprising the steps of:

-   -   providing reference data in the form of at least one calibration         curve corresponding to a parametric slope as a function of         values of said desired parameter;     -   providing the state of the blood flow cessation within a         measurement region, and maintaining the blood-flow cessation         state during a predetermined time period;     -   performing timely separated measurement sessions within said         predetermined time period, each measurement session including at         least two measurements with different wavelengths of incident         light, and obtaining the time dependence of transmission         signals, wherein the at least two wavelengths are selected in         accordance with the desired parameter to be determined;     -   analyzing the obtained data for determining the parametric slope         value for said specific patient;     -   using said calibration curve for determining the value of said         desired parameter for said specific patient.

There is also provided a measurement apparatus for performing non-invasive optical measurements of desired parameters of the patient's blood.

BRIEF DESCRIPTION OF THE DRAWINGS

In order to understand the invention and to see how it may be carried out in practice, a preferred embodiment will now be described, by way of non-limiting example only, with reference to the accompanying drawings, in which:

FIG. 1 a is a schematic illustration of a measurement apparatus for carrying out a method of the invention applied to the patient's finger for performing non-invasive, in vivo, measurements;

FIG. 1 b is a schematic illustration of a measurement apparatus for carrying out a method of the invention applied to a blood sample of the patient's blood in a cuvette for performing invasive, in vitro, measurements;

FIG. 2 graphically illustrates the light transmitting characteristic of blood changes under the experimental results obtained by applying the apparatus of FIG. 1 a to the patient's blood-perfused fleshy medium, showing the time changes of the blood flow state;

FIGS. 3 a and 3 b illustrate graphs showing the measured time variations of the transmission signals corresponding to different wavelengths, measured by the apparatuses of FIGS. 1 a and 1 b, respectively;

FIGS. 4 a and 4 b are graphs of the functions K(ω) and K(<ω>) describing diffraction effects on particles;

FIGS. 5 a and 5 b illustrate the main principles of the determination of a cut-off wavelength, wherein FIG. 5 a shows six graphs of the time variations of transmission signals corresponding to six different values of the wavelengths of incident radiation, and FIG. 5 b shows a graph of Δ(log T)/Δt as the function of the wavelength obtained from the graphs in FIG. 5 a;

FIGS. 6 a and 6 b graphically illustrate the main principles of the determination of a parametric slope aimed at determining the concentration of hemoglobin, wherein FIG. 6 a illustrates a parametric slope plotted as the transmission logarithm at the wavelength λ₂, i.e., Log(T₂), versus the transmission logarithm at the wavelength λ₁, i.e., Log(T₁), over the initial time interval, using data from the graphs in FIG. 3 a, and FIG. 6 b illustrates a calibration curve in the form of the parametric slope as the function of the concentration of hemoglobin.

FIGS. 7 a and 7 b illustrate the determination of the glucose concentration, wherein FIG. 7 a shows the measurement data in the form of transmission signals as the functions of time T₁(t) and T₂(t) for two different wavelengths λ₁ and λ₂ of incident radiation, and FIG. 7 b shows a parametric slope plotted as the transmission logarithm at the wavelength λ₂, i.e., Log(T₂), versus the transmission logarithm at the wavelength λ₁, i.e., Log(T₁);

FIGS. 8 a to 8 c illustrate the determination of the oxygen saturation parameter, wherein FIG. 8 a shows two graphs for parametric slopes corresponding to two different pairs of wavelengths, respectively, and FIGS. 8 b and 8 c illustrate one possible example for plotting a corresponding calibration curve;

FIGS. 9 a and 9 b illustrate some more features of the present invention relating to a so-called “MegaSlope” concept, wherein FIG. 9 a graphically shows the MegaSlope graph plotted using the measured data of FIG. 3 a, and FIG. 9 b shows the corresponding calibration curve; and

FIG. 10 illustrates the determination of Erythrocyte Aggregation Rate, showing Δ(log T)/Δt as the function of Erythrocyte Sedimentation Rate, obtained through the conventional in vitro measurements.

DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

A method according to the present invention consists of applying optical measurements to the patient's blood while in the state of blood flow cessation, within a measurement region, by irradiating this region with at least two different wavelengths in the near IR or visible range, and detecting transmission signals as the functions of time during a predetermined time period. This can be implemented by applying over-systolic pressure to a location on the patient's organ so as to create the state of blood flow cessation, and applying the optical measurements to a location on the finger downstream of the pressurized location with respect to the direction of a normal blood flow (in vivo). Alternatively, the flow of a blood sample can be directed into a cuvette, and upon creating the state of blood flow cessation in the cuvette, the optical measurements are applied to the blood sample therein (in vitro).

FIG. 1 a illustrates a block diagram of a measuring apparatus 1 for carrying out the method of the present invention in a non-invasive manner. The apparatus includes such main constructional parts as a pressurizing assembly 2, an illumination assembly 4, a detection assembly 6, and a control unit 8. The pressurizing assembly 2 is composed of an occlusion cuff 10 which may be of any known suitable type for attaching to the patient's organ, e.g., finger (not shown), and a pneumatic system 12 that applies pressure to the location on the patient's tissue underneath the cuff 10. The illumination assembly 4 includes a plurality (an array) of light sources (e.g., LEDs) 14 associated with a suitable drive mechanism 16. Alternatively, although not specifically shown, a single broad band illuminator can be used. The light sources generate incident radiation propagating through tissue at a measurement location. The detection assembly 6 includes one or more frequency selective detectors 18, e.g., spectrophotometer or photodiodes with frequency selective filters, typically equipped with an amplifying means 19. The detection assembly 6 is accommodated so as to detect light response of the tissue at the measurement location, namely light transmitted through the tissue or light reflected therefrom, as the case may be, and generating data representative thereof. A suitable electronic block 20, typically including an analog to digital (A/D) converter and data acquisition means, processes the generated data. The output of the block 20 is coupled to the control unit 8.

It should be noted that the cuff 10 may be accommodated on the patient's wrist or palm, and the illumination/detection assemblies may be located on the patient's finger. Generally speaking, the first location, to which the pressure is applied, and the second location, to which the measurements are applied, are aligned along the direction of the normal blood flow.

The control unit 8 is interconnected between the illumination and detection assemblies 4 and 6, and is coupled to the pneumatic system 12 (i.e., to the pressurizing assembly). Generally speaking, the control unit 8 is a computer device having such known utilities as a memory, a processor, a synchronizer, a display, etc. The processor is preprogrammed by suitable software capable of analyzing the received output of the detection assembly and determining one or more desired conditions of the patient's blood, as will be described more specifically further below.

FIG. 1 b illustrates a measurement apparatus 100 utilized for carrying out a method of the present invention in an invasive manner. To facilitate understanding, the same reference numbers are used for identifying those components which are identical in the apparatuses 1 and 100. The apparatus 100 is generally similar to the apparatus 1, having the same illumination and detection assemblies 4 and 6 and the control unit 8. Here, in distinction to the apparatus 1, a pump 102 serves for directing the flow of the patient's blood sample from a buffer 103 into a cuvette 102. By manipulating the pump, the state of blood flow cessation in the cuvette can be provided and maintained for a predetermined period of time.

FIG. 2 illustrates a graph G presenting experimental results obtained by applying the apparatuses 1 to the patient's blood perfused fleshy medium. The graph G shows how the light-transmitting characteristic of blood changes under the application of the over-systolic pressure. The transmitting characteristic are shown here as the so-called “Relative Transmission”, i.e., in Transmission Arbitrary Units or T(A.U.).

The application of pressure starts at a moment T_(start), and is maintained for a period of time such as not to cause irreversible changes in the fleshy medium (e.g., 4 seconds). The pressure is released at the moment T_(release). Measurements of the Relative Transmission are performed continuously, starting prior to the application of the over-systolic pressure. Different states of the blood flow, designated A, B, C, D and E, are observed. State A is a state of normal blood flow before the over-systolic pressure is applied. As shown, this state is characterized by a standard fluctuating value of the relative light transmission of blood. State B starts at the moment T_(start) (when the pressure is initially applied) and exists during a short period of time T_(B) (about 0.5 sec) within which the over-systolic pressure is actually applied. Measurements taken during this time period should be disregarded, due to the unavoidable influence of motional and/or other artifacts causing non-monotonic fluctuations of the light transmission.

State C is a state of the temporary cessation of blood flow which lasts within a time period T_(C) between a moment determined as (T_(start)+T_(B)) and the moment T_(release). During this period of time, T_(C), the ascending curve (or descending curve depending on the incident wavelength) of relative light transmission of blood is observed. It reaches its maximum, and may last for about 2–5.5 sec (generally, from one second to several minutes).

It is appreciated that when over-systolic pressure is applied to any proximal part of the body, there is still sufficient space for the redistribution of blood between the exact area of the measurement (i.e. the location of the detector) and the adjacent areas in close proximity to the detector. For example, if the detector is located on a fingertip and over-systolic pressure is applied on the palm, there is enough space between the fingertip and the margin of the applied pressure to “squeeze” the blood from one location to another.

State D is a transitional state of blood flow which takes place after releasing the over-systolic pressure. This state starts with a slight delay T_(d) (approximately 0.5 sec), i.e. at the moment determined as (T_(release)+T_(d)). During the time period T_(D) of the duration of state D, the relative transmission of blood monotonously descends until it reaches values characteristic of the normal blood flow. Such a moment is marked as T_(end) in the drawing. The end of state D, and the beginning of state E, is detected when the changes of the light transmission become periodic and minimal (about 2%). State E is a state of normal blood flow, which is similar to state A.

According to the invented method, optical measurements are applied during the state of blood cessation, i.e., state C, with three different wavelengths of incident radiation—λ₁=660 nm, λ₂=940 nm and λ₃=1300 nm in the present example, and corresponding transmission signals are measured as the functions of time. FIG. 3 a illustrates three graphs showing the measured time variations of the transmission signals, i.e., T₁(t), T₂(t) and T₃(t), corresponding to the wavelengths λ₁, λ₂ and λ₃, respectively, obtained with the apparatus 1 (in vivo). As shown, the transmission always grows during a certain initial time interval t_(in), which is different for different wavelengths of incident radiation, and then, in an asymptotic time interval, t_(asym), it monotonously grows or falls, depending on the wavelength of the incident radiation. FIG. 3 b illustrates three graphs corresponding to the time dependence of the transmission signals T′₁(t), T′₂(t) and T′₃(t) obtained with the same three wavelengths, but in vitro, i.e., with the measurement apparatus 100 illustrated in FIG. 1 b.

As shown, the corresponding graphs in FIGS. 3 a and 3 b, i.e., T₁ and T′₁, T₂ and T′₂, and T₃ and T′₃, are similar. This signifies that the same process takes place in the blood while in the patient's body under the occlusion mode, and in the blood sample in the cuvette, affecting the light response of the blood. This process is the erythrocytes' aggregation.

Turning back to FIG. 2, such an essential difference between the optical characteristics of the blood perfused fleshy medium at the state of blood flow cessation (state C) and those of the fleshy medium with normal blood flow (states A and E) can be explained by the physical and physiological mechanisms—the preferred orientation of red blood cells, their aggregation, and condition of blood vessels. Red blood cells are biconcave discoid cells, the alignment of which drastically changes with the blood flow changes. In turn, scattering properties of the discoid red cells depend on their orientation relatively to the axis of optical measurement. Changes in the scattering properties of the red blood cells alter light absorption of the blood perfused medium. The cessation of the blood flow causes the massive appearance of the aggregated chains that change the light scattering and light absorption of the blood in the fleshy medium. With regard to the condition of blood vessels, the degree of blood perfusion of the vessels and their dimensions essentially depend on the presence of the arterial blood flow, thus affecting optical characteristics thereof.

When radiation propagates in blood or in other bio-tissues, it is scattered by nonuniformities of the medium which have a random position in space. In a weakly scattering high-transparent medium, radiation undergoes the single scattering by the scatterer and then leaves the system. In another type of medium, defined as the strongly scattering or opaque medium, radiation undergoes many scatterings by the scatterers during the whole time of its propagation in the medium. Blood is the strongly (multiple) scattering medium of this type for near IR and visible spectral ranges.

Generally, the light response of a medium is defined by absorption and scattering affects. Blood consists of particles (erythrocytes) and the surrounding plasma (which is considered to be similar to water by its optical characteristics). Erythrocytes are the concave disks of a certain diameter (about 8 μm) having a certain volume V₀ (about 90 μm³). In the entire volume V of blood there are N erythrocytes. The concentration of erythrocytes, ρ, is determined as: ρ=N/V. The volume per one particle is: V/N=1/ρ, and part of volume that is occupied by erythrocyte is: H=ρ*V₀. We have the following condition: 0≦H≦1, where H=0 stands for no scattering materials in the volume V, and H=1 stands for the volume V completely filled with scattering material. Erythrocyte contains a membrane from lipids and some other components, the main one being hemoglobin that occupies 30% of the erythrocyte volume, the plasma (mostly water) occupying the remaining 70% of the erythrocyte volume.

For the calculation of optical properties of blood (reflection and transmission coefficients), properties of the entire system should be connected with the scattering and absorption properties of the unit of the system volume. To this end, the scattering and absorption coefficients have to be evaluated.

The radiation is scattered mainly from erythrocytes. This is associated with the following. As indicated above, plasma is similar to water by its optical characteristics. The refraction index of hemoglobin n_(Hb) is about 1.4 and differs from the refraction index of water, which is n_(H2O)=1.33, the relative dielectric constant being n′=n_(Hb)/n_(H2O)=1.052. It is known that the dielectric constant of erythrocyte depends on the dielectric constant of hemoglobin C_(Hb), which changes in the interval 30–36 g/dl. Correspondingly, the relative dielectric constant n′ changes in the interval 1.03<n′<1.07 (1.37<n_(Hb)<1.42). In the whole interval of variation, there is a condition that: n_(Hb)−n_(pl)<<n_(pl). Here, the estimations that n_(Hb)≈1.4, n_(pl)≈n_(H2O) and n_(Hb)−n_(H2O)=1.4−1.33=0.07 are taken.

The process that takes place at the state of blood cessation is the aggregation of erythrocytes, during which the erythrocytes forms a long chain. The number of erythrocytes in aggregate depends on many parameters, such as hematocrit H, chemical composition of the blood plasma, and of erythrocyte themselves. Considering that initially the erythrocyte is a concave disk or spheroid having its small size c and the long size a, during the aggregation, the erythrocytes adhere to each other along their long surfaces. If there is aggregation with x erythrocytes, the number of aggregates are N/x. The volume per one aggregate is Vx/N. The volume of one aggregate is V₀x. The part of volume occupied by one aggregate, i.e., the new hematocrit H′, is as follows: H′=(Vx/N)*(1/V ₀ x)=(V/N*V ₀)=H

Hence, within this model, the hematocrit of the system does not change in the process of aggregation.

With aggregation, the size of a responding (scattering and absorbing) particle increases. Simulating the aggregates by a sphere, the radius of an aggregate is: r′=rx^(1/3), wherein r is the radius of the erythrocyte. In a spheroid, the small size c′=cx or both sizes c and a are increased, so that: (a′)²c′=a²cx.

The total cross-section σ_(tot) is equal to the sum of the scattering cross-section σ_(scat) and absorption cross-section σ_(abs), that is: σ_(tot)=σ_(scat)+σ_(abs)

Let us consider the scattering and absorption effects separately:

Scattering Effect

To evaluate the optical properties of the entire system (blood under occlusion or blood sample), the scattering characteristics of a single scatterer should be first evaluated. To this end, WKB approximation is used, which is known in optics as the approximation of anomalous diffraction of Van der Hulst, enabling to obtain a microscopic scattering coefficient of radiation by the erythrocytes of blood. The disclosures in the following articles can be used: “Wave Propagation and Scattering in Random Media”, A. Ishimaru, Vol. 1–2, Academic Press, New York, 1978; “Light Scattering by Small Particles” H. C. van der Hulst, Wiley, New Ypork, 1957. In accordance with this approximation, radiation propagates inside the particle in the same direction that the incident radiation does (low-refractive particles), and the radiation wave number inside the particle is equal to the wave number of the radiation in the particle material. The effect of scattering in such a case is connected with the radiation phase change when the radiation propagates inside the particle or more specifically in the hemoglobin of the erythrocyte.

The radiation in visible and near IR region (λ=0.5–1.6 μm) is characterized by the following important property: the wavelength of the radiation is smaller than the characteristic size of the particle, that is λ<r for sphere or λ<a,c for spheroid. Otherwise, this property is expressed as the inequality: kr=2πr/λ>>1 (or 2πa/λ>>1, 2πc/λ>1). This inequality is not strong for small erythrocyte size c=1,34 μm, but is fulfilled with great margin for aggregates of erythrocytes.

The total cross-section of the radiation scattering σ_(scat) is equal: σ_(scat)=2·Re∫dS(1−e ^(2ix′(n′−1)·cos γ))=2·Re∫dS(1−e ^(2ix(n) ^(Hb) ^(−n) ^(pl) ^(·cos γ))

Here, cos γ=l/2r, wherein l is the path length of the radiation ray passing through the scattering sphere; γ is the angle between the direction of the radiation propagation and the direction of the radius from the center of the sphere to the first intersection point of the radiation ray with the sphere surface. The parameters x′, x and n′ are as follows:

${x^{\prime} = \frac{2\;\pi\;{rn}_{pl}}{\lambda}};{x = \frac{2\pi\; r}{\lambda}};{n^{\prime} = \frac{n_{Hb}}{n_{pl}}}$

The result is: σ_(scat)=4·Re Kcom[−2ix(n _(Hb) −n _(pl) ]·πr ²

For real refraction indices (n_(Hb), n_(pl)), we have: σ_(scat)=2πr2K[x(n _(Hb) −n _(pl))], wherein K(ω)=1−(sin(2ω)/ω+(sin(ω)/ω)²; ω=x(n _(Hb) −n _(pl)), x=2πr/λ.

Thus, we defined the function K(ω) which is graphically illustrated in FIG. 4 a. This function describes diffraction effects on particles depending on the model used. As shown, this function has the asymptotic value 1 at ω→∞, in which case σ_(scat)=2πr². The other asymptotic expression at small ω→0, K(ω)=ω², but this contradicts with the WKB approximation. For blood, there is the intermediate case x≈20 and ω≈1.

The function K(ω) has many maximum and minimum values, the physical sense of which is the interference between the refracted and diffracted waves. Considering the second order statistical correlation of mutual arrangements of the particles, the scattering coefficient μ_(scat) for spheres may be written as follows:

$\mu_{scat} = {\frac{2\pi\; r^{2}}{V_{0}}{{K(\omega)} \cdot {H\left( {1 - H} \right)}}}$ wherein ω=2πr(n_(Hb)−n_(pl))/λ.

For spheres, the scattering coefficient μ_(scat) decreases to zero when r increases to infinity. For spheroids, the scattering coefficient μ_(scat) in WKB approximation depends on the radiation propagation direction, and is as follows:

$\mu_{scat} = {{H \cdot \left( {1 - H} \right) \cdot \left( {1/V_{o}} \right) \cdot \sigma_{scat}} = {2 \cdot \frac{A}{V_{0}} \cdot H \cdot \left( {1 - H} \right) \cdot {K(\omega)}}}$ wherein A is an area of geometrical shadow perpendicular to axes, A=πaI(ζ) and I(ζ)=[a² cos² ζ+c² sin² ζ]^(1/2); ζ is an angle between the axis of spheroid and the direction z of the radiation propagation.

The parameter ω is as follows:

$\omega = {\frac{4}{3} \cdot \frac{2\pi\; b}{\lambda} \cdot \left( {n_{Hb} - n_{pl}} \right)}$ wherein b is the half the mean thickness of a scatterer (erythrocyte) along the direction of incidence z, that is:

${b = {{\frac{3}{4}{a \cdot \frac{c}{I(\zeta)}}} = {\frac{3c}{4} \cdot \left( \frac{1}{\left\lbrack {1 - {ɛ^{2}\sin^{2}\zeta}} \right\rbrack^{1/2}} \right)}}},{ɛ^{2} = {1 - \left( {c/a} \right)^{2}}}$

The scattering coefficient is minimal (b=3c/4) for broadside incidence (ζ=0) and maximal (b=3a/4) for rim-on incidence (ζ=π/4)

The similar approach may be applied to each particular geometry of the center of scattering, such as spheroids with averaged parameters over various orientations, etc.

FIG. 4 b illustrates the function K(<ω>). It can be seen from this graph that the scattering coefficient μ_(scat) for spheroids which is proportional to K(<ω>) has the finite limit when one of the sizes c increases to infinity. This limit is determined by the unchanged spheroid size a.

The above equations for the scattering coefficient μ_(scat) are very important for the evaluation of the optical properties of blood, with taking into account the real size and shape of erythrocytes. This also allows the evaluation of the optical properties of erythrocytes when they aggregate one with another.

Turning back to FIGS. 3 a–3 b and FIG. 4 a, and keeping in mind that ω=(2πr/λ) (n_(Hb)−n_(pl)), i.e., K is the function of the wavelength λ of the incident radiation, we can conclude the following. Since for one wavelength the transmission signal grows with time in the asymptotic time interval t_(asym) and for the other wavelength it falls, there exists such a wavelength (cut-off wavelength) of incident radiation, which causes no time changes in the transmission signal and which corresponds to the extremum (maximum or minimum) of the function K(ω). The transmission signal corresponding to the cut-off wavelength of incident radiation will therefore be independent on the erythrocyte aggregation process.

Reference is now made to FIGS. 5 a and 5 b, illustrating the main principles of the determination of the cut-off wavelength as an example of the particular RGF. FIG. 5 a shows the results of in vivo measurements during prolonged occlusion, in the form of several graphs—six in the present example. Graphs T₁ ^(λ1)(t)–T₆ ^(λ7)(t) of the time variation of transmission signals correspond to different values of the wavelengths of incident radiation: λ₁=650 nm, λ₂=700 nm, λ₃=760 nm, λ₄=880 nm, λ₅=940 nm and λ₆=1300 nm. FIG. 5 b shows a graph in the form of a ratio Δ(log T)/Δt as the function of the wavelength λ obtained from the graphs in FIG. 5 a, wherein Δt lies substantially within the asymptotic time interval t_(asym), where the transmission signals change with time slower than in the initial time interval t_(in). The point λ₀ is the cut-off wavelength of incident radiation corresponding to a certain time stable transmission for a specific patient, which, in turn, corresponds to the extremum of the function K(ω), i.e., its maximum or minimum.

As indicated above, ω=x(n_(Hb)−n_(pl))=2πr(n_(Hb)−n_(pl))/λ for the sphere-like erythrocyte, or ω=x(n_(Hb)−n_(pl))=2πa(n_(Hb)−n_(pl))/λ for the spheroid-like erythrocyte. For a given cut-off wavelength, λ₀, the parameter ω varies from patient to patient, and lies in a certain interval defined by the minimum and maximum acceptable erythrocyte size and minimum and maximal acceptable values of the difference (n_(Hb)−n_(pl)). Having determined the wavelength λ₀ corresponding to the maximum or minimum of K(ω), and considering the relevant interval of ω values, the corresponding value of ω in this interval can be evaluated for the specific patient. This data can be used for further analysis, which will be described further below. As indicated above, the knowledge of the difference (n_(Hb)−n_(pl)) is indicative, for example, of the glucose concentration.

Absorption Effect

The incident radiation is absorbed by the blood components—hemoglobin and water. The absorption coefficient of hemoglobin μ^(Hb) _(abs) (per unit of hemoglobin density) and analogous absorption coefficient of plasma (water) μ^(pl) _(abs) can be obtained experimentally and are known from literature. These coefficients depend on the wavelength of incident radiation, and their magnitudes may be estimated as follows: μ^(Hb) _(abs)≈2.5*10⁻² dl/(g*mm) and μ^(pl) _(abs)≈1.5*10⁻³ dl/(g*mm).

The total absorption coefficient is equal: μ_(abs)=μ^(Hb) _(abs) ·C _(Hb) ·H+μ ^(pl) _(abs) ·C _(pl)=μ^(Hb) _(abs) ·C _(Hb) ·H+μ ^(pl) _(abs)·(100 g/dl−C _(Hb) ·H)

Here, C_(Hb) is the concentration of hemoglobin and is approximately equal to 30 g/dl; μ^(Hb) _(abs) is the absorption coefficient of hemoglobin and is approximately equal to 2.5*10⁻²; and μ^(pl) _(abs) is the absorption coefficient of plasma which is about 1.58*10⁻³ (considering that the optical characteristics of plasma as similar to those of water).

Since there is a concrete geometry of erythrocytes in the system, the role of their spherical shape in the absorption of radiation should be considered.

The absorption coefficient is expressed by the imaginary part of the refraction indices and is as follows: σ_(abs)=2·Re∫dS(1−e ^(−4x(s·Im n) ^(Hb) ^(+(1−s)·Im n) ^(pl) ^()·cos γ)=2·Kcom(4x(s Im n _(Hb)+(1−s)Im n·) wherein hemoglobin occupies only the part s of the erythrocyte volume V₀.

For the real system x≈18, Im n_(Hb), n_(pl), is about 10⁻⁴ and the argument of function is small. Considering the expression for Kcom[y]:

${{Kcom}\lbrack y\rbrack} = {\frac{y}{3} - \frac{y^{2}}{8} + \frac{y^{3}}{30} + \ldots}$ we have:

$\sigma_{abs} = {\frac{8}{3}{x \cdot \pi}\;{r^{2} \cdot \left( {{{s \cdot {Im}}\; n_{HB}} + {{\left( {1 - s} \right) \cdot {Im}}\; n_{pl}}} \right)}}$

Taking into account the following: 2·(2π/λ)·s·Im n _(Hb)=μ^(Hb) _(abs) ·C _(Hb) 2·(2π/λ)·(1−s)·Im n _(pl)=μ^(pl) _(abs)·(1−s)·ρ_(pl)

${\frac{4\pi}{3} \cdot r^{3}} = V_{0}$ we receive: σ_(abs)=(μ_(a) ^(Hb) ·C _(Hb)+μ_(a) ^(pl)·(1−s)·ρ_(pl))V ₀

For the absorption coefficient of erythrocyte we have the expression: μ_(abs) ^((eryth))=ρ·σ_(abs)=(μ^(Hb) _(abs) ·C _(Hb) ·H+μ ^(pl) _(abs)·(1−s)·H·ρ _(pl)

It is thus evident that for blood, the absorption coefficient does not depend on the shape of particles and their sizes, but depends only on the volume of the components. With the contribution of water in the space between the erythrocytes, we reproduce again the above, more general equation for μ_(abs).

For the opposite limit of very large particles, we have: σ_(abs)≈πr² and therefore (when x(n_(Hb)−n_(pl))>>1), we have: σ_(scat)=σ_(tot)−σ_(abs)=πr². So, for this case: σ_(scat)/σ_(tot)=1/2, which means that they are of the same order of magnitude.

Simulations were carried out utilizing various models of multiple scattering theories, such as the model of Twersky, diffusion models (which provide better approximation for blood in a regular situation as compared to that of the model of Twersky), model of Hemenger, model of Rogozkin, and Small-Angle model. The transport theory dealing with average values was also considered in the simulations.

The above models are disclosed, for example, in the following articles:

-   -   “Interface Effects in Multiple Scattering by Biological         Suspensions”, V. Twersky, Journal of the Optical Society of         America, Vol. 60, No. 7, pp. 908–914, 1970;     -   “Optical Properties of Turbid Media with Specularly Reflecting         Boundaries: Applications to Biological Problems”, R. P.         Hemenger, Appl. Opt., Vol. 16. N0.17, 99. 2007–2012, 1997;     -   “Long-Range Correlations in Wave Reflection from a Disordered         Medium”, D. B. Rogozkin, Phys. Rev. B. Vol. 51, No. 18, pp.         12256–12267, 1995;     -   “Long-Range Intensity Correlations for the Multiple Scattering         of Waves in Unordered Media”, D. B. Rogozkin, JETP Vol. 84(5),         pp. 916–939, 1997; and     -   “Intensity Correlation in a Disordered Medium with Large         Scaterrers”, D. B. Rogozkin, Physics Letters A 178, pp. 431–439,         1993.

Since the transmissions at different wavelengths are the functions of the number of particles in aggregates or particle size, the transmission at one wavelength can be expressed as a parametric function of the transmission at another wavelength. This function is a straight line with reasonable accuracy. This conclusion is verified for both the transmissions themselves and the logarithms of transmission for different models and different simulations of erythrocyte shape.

If the transmission signal T₁(t) is measured when using the incident wavelength λ₁, and the transmission signal T₂(t) is measured when using the incident wavelength λ₂, then the slope of the line T₁(λ₁)/T₂(λ₂) (or log T₁(λ₁)/log T₂(λ₂) is a certain parameter, called “parametric slope” (PS) for a specific patient that can be determined. By this, we can get rid of the explicit usage of the size of aggregates, i.e., the values that cannot be known from experiments in vivo.

The model of Rogoskin for spheres is used to obtain an approximate analytical expression of the parametric slope PS. It should however be noted that, for the cases of more complicated shapes, the proper generalization also may be done.

Thus, the following expression is used:

${PS} = {\frac{\left( {{\partial T}/{\partial r}} \right)_{\lambda_{2}}}{\left( {{\partial T}/{\partial r}} \right)_{\lambda_{1}}} = {\frac{\left( {{\partial T}/{\partial\mu_{tr}}} \right)_{\lambda_{2}}}{\left( {{\partial T}/{\partial\mu_{tr}}} \right)_{\lambda_{1}}} \cdot \frac{\left( {{\partial\mu_{tr}}/{\partial r}} \right)_{\lambda_{2}}}{\left( {{\partial\mu_{tr}}/{\partial r}} \right)_{\lambda_{2}}}}}$ wherein T is the transmission signal and μ_(tr) is the transport scattering coefficient that describes the energy decay for the case of anisotropic scattering, and is determined as follows: μ_(tr)=μ_(scat)(1−g), g being the anisotropic coefficient.

Here, the case when (μ_(diff)*d)≧1 and Sinh(μ_(diff)*d)≈exp(μ_(diff)*d) is used, wherein μ_(diff) is the diffusion coefficient; d is the thickness of the blood slab. (∂T/∂μ _(tr))_(λ) =−<H(θ,1)>·3^(1/2)·(1/2)·(μ_(abs)/μ_(tr))·[d+(1/μ_(diff))·(1+2(μ_(abs)/μ_(tr)))]·exp(−μ_(diff) ·d)

At (μ_(abs)/μ_(tr))>>1, we have: (∂T/∂μ _(tr))_(λ) =−<H(θ,1)>·(μ_(abs)/μ_(tr))·[3^(1/2)·(1/2)·d+(1/μ_(tr))]·exp(−3^(1/2)·μ_(abs) ·d)

At (μ_(abs)/μ_(tr))<<1, we have: (∂T/∂μ _(tr))₈₀ =−<H(θ,1)>·1/2·(μ_(abs)/μ_(tr))·[3^(1/2) ·d+(1/(μ_(abs)·μ_(tr)))^(1/2)]·exp (−3·μ_(abs)·μ_(tr))_(1/2) ·d

Here, H(θ,1) is the function of Chandrasekhar that depends on the angle θ of the radiation propagation, <H(θ,1)> is the value averaged by all angles of radiation propagation.

Analogous, the expressions for derivatives of Log T can be obtained and the parametric slope for Log T can be defined: ∂(Log T)/∂μ_(tr))_(λ)=−(3/2)·(μ_(abs)/μ_(diff))·[d+(1/μ_(diff))·1+2·(μ_(abs)/μ_(tr)))]

At (μ_(abs)/μ_(tr))>>1, we have: ∂(Log T)/∂μ_(tr))_(λ)=−[(3^(1/2)/2)·d+(1/μ_(tr))]

At (μ_(abs)/μ_(tr))<<1, we have: (∂(Log T)/∂μ_(tr))_(λ)=−(1/2)·(μ_(abs)/μ_(tr))^(1/2)·[3^(1/2) ·d+(1/μ_(abs)·μ_(tr))^(1/2)]

For the Small-Angle model: (∂(Log T)/∂μ_(tr))_(λ)=−(1/2)·(μ_(abs)/μ_(tr))^(1/2) ·d

The derivative (dμ_(tr)/dr)_(λ) is got from the above expression for the scattering coefficient μ_(scat) for the sphere-based model.

The following expression is known: (∂μ_(tr) /∂r)_(λ)=−(3/2)·(1/r ²)·[K(ω)−ω·K′(ω)]·H(1−H)·(1−g) wherein g is the average cosine of the scattering angle (g=<cos θ>) and is connected with the anisotropy of the radiation scattering.

In the region of real value of parameters 1<ω<2, there is the approximation K(ω)≈0.82053*ω+0.0366. Then, we have: (∂μ_(tr) /∂r)_(λ)=−(3/2)·(1/r ²)·0.0366·H(1−H)·(1−g)

The above ratio (dμ_(tr)/dr)_(λ) depends on the wavelength through the factor (1−g) only.

The value μ_(tr) with K(ω)≈0.82053*ω becomes: μ_(tr)≈(3/2)·0.82053·2·π·(1/λ)·H·(1−H)·(1−g)

If we substitute this expression in the above equations for (dT/dμ_(tr))_(λ), we receive the expression that depends on the wavelength very simply and does not depend on the size of particles.

As the result of substitution of μ_(tr) and (dμ_(tr)/dr)_(λ) in the above expression for PS, we receive the parameter that does not depend on the particle size.

Now we shall describe how the above theoretical considerations can be used in practice. What we actually obtained through the above simulations, is the fact that there exist a parameter (“parametric slope”), which does not depend on the particle size and only on the concentration of hematocrit in blood. This fact can be used for determining the concentration of a substance of interest in blood.

To do this, first, a set of calibration curves should be provided. Each calibration curve corresponds to a specific substance and is in the form of a parametric slope (PS), as the function of the hematocrit. This can be done by applying two kinds of measurements to a large number of patients. The measurements of one kind are those of the present invention enabling the determination of the parametric slope value for each patient (as will be described below), and the others are conventional ones enabling the determination of the corresponding parameter for the same patient. This set of calibration curves presents reference data, which is previously stored in the memory of the control unit.

Then, for a specific patient, two measurement sessions are applied with the above-described measurement apparatus 1 in vivo (or apparatus 100 in vitro), with two different wavelengths λ₁, and λ₂. These wavelengths are selected in accordance with the given task, namely the blood parameter to be determined, as will be exemplified further below. These measurements can be taken within the initial time interval of the entire time period during which the blood flow cessation state is maintained, namely the time interval where the time changes of the transmission signal are stronger as compared to the asymptotic time interval, as well as during the asymptotic time interval.

For example, if the concentration of hemoglobin is to be determined, the two selected wavelengths are those of the absorption of hemoglobin and plasma (water) in the ranges where the difference in the absorption of hemoglobin and water is more sharply expressed, i.e., typically 600–1000 nm and 1100–1400 nm, but may also be 940–980 (water sensitive space) and 600–930 (hemoglobin sensitive space). In the present example, the wavelengths λ₁=950 nm and λ₂=1300 nm are used. The corresponding graphs of the transmission logarithms log(T₁) and log(T₂) as the functions of time t corresponding to these wavelengths are shown in FIG. 3 a.

As graphically illustrated in FIG. 6, to determined a parametric slope PS, the function of the transmission logarithm at the wavelength λ₂, i.e., Log(T₂), versus the transmission logarithm at the wavelength λ₁, i.e., Log(T₁) is determined over the initial time interval. This graph is obtained by the linear regression algorithm. The value of the tg(φ) corresponds to the parametric slope PS. The corresponding calibration curve is shown in FIG. 6 b. By using this curve, the concentration of hemoglobin can be determined for the specific patient, to whom the measurements are applied.

Turning now to FIGS. 7 a and 7 b, there are illustrated two steps in the method for determining the concentration of glucose. Here, the wavelengths λ₁ and λ₂ are selected in the ranges 600–1300 nm and 1500–1600 nm, respectively, namely λ₁=660 nm and λ₂=1550 nm. FIG. 7 a illustrates the corresponding transmission signals as the functions of time, i.e., T₁(t) and T₂(t). Then, the function log T₂ vs. Log T₁ is determined, as graphically illustrated in FIG. 7 b, and the corresponding parametric slope is determined as described above. Having determined the parametric slope value for a specific patient, a corresponding calibration curve (not shown) is used for determining the glucose concentration for this specific patient.

Another important blood parameter that can be determined with the invented method is the oxygen saturation in the patient's blood. Oxygen saturation is defined as the ratio of the content of oxyhemoglobin (HbO₂) to the total amount of hemoglobin (Hb) in the blood volume unit. The classic pulse oximetry method allows for determining the oxygen saturation. This method utilizes the so-called “natural pulsatile” component of a light transmission signal. This pure natural pulse-related signal component of a detected signal, determined by an appropriate signal processing technique, is commonly called the “AC component” of the detected signal, whereas the entire transmission signal by itself is called the “DC component” of the detected signal. The transmission measurements in the pulse oximetry are carried out simultaneously at two different wavelengths, for example λ₁=760 nm and λ₂=940 nm, where the significant difference in the light absorption of oxyhemoglobin and hemoglobin exists between the two chosen wavelengths. Two pairs of AC and DC components are obtained. Generally, the ratio R, defined as (AC/DC)_(λ1)/(AC/DC)_(λ2), is the value of oxygen saturation.

We applied the “parametric slope” concept and obtained the same results as with the pulse oxymetry technique. FIG. 8 a illustrates two graphs P₁ and P₂ (the provision of only one of them being sufficient for the purposes of the present invention), corresponding respectively to (log T₁)_(λ1) vs. (log T₃)_(λ3) and (log T₂)_(λ2) vs. (log T₃)_(λ3). The measured data T₁(t), T₂(t) and T₃(t) is obtained in the above-described manner using the following wavelengths of incident radiation: λ₁=650 nm, λ₂=760 nm and λ₃=940 nm. It should be understood that the use of two wavelengths and, correspondingly, the provision of one parametric slope related graph, is sufficient for the determination of the parametric slope PS.

Generally, a calibration curve to be used for determining the oxygen saturation for a specific patient may be constructed as described above, i.e., applying measurements to various patients. Alternatively, or additionally, in the case of oxygen saturation determination, the calibration curve can be plotted when applying the two kinds of measurements for a single patient in a breath hold experiment using a multiple-occlusion mode. This is illustrated in FIGS. 8 b and 8 c.

FIG. 8 b shows the measured data in the multiple-occlusion mode in the form of the transmission functions T₁(t), T₂(t) and T₃(t) corresponding, respectively, to the wavelengths λ₁=650 nm, λ₂=760 nm and λ₃=940 nm. As shown, several occlusions were performed during the state of the patient's breath hold, and the corresponding parametric slope values were determined during the time interval of the saturation decrease. Concurrently, conventional measurements are applied to the same patient, for example to his other finger, for determining the changes in the oxygen saturation. FIG. 8 c shows the so-obtained calibration curve in the form of the parametric slope PS as the function of the oxygen saturation SPO2.

It should be noted, although not specifically shown, that the similar results for the oxygen saturation, as well as for the concentrations of hemoglobin and glucose, were obtained when applying the “parametric slope” based measurements to a blood sample in cuvette, i.e., in vitro measurements.

FIGS. 9 a and 9 b illustrate another important feature of the present invention consisting of the determination of a so-called “MegaSlope” (MS). FIG. 9 a shows a graph P′ determined from the measured data shown in FIG. 3 a. The wavelengths used are: λ₁=660 nm, λ₂=950 nm and λ₃=1300 nm. To this end, the entire time period in FIG. 3 a is divided into a plurality of time intervals Δt—ten in the present example, and for each time interval Δt a pair of parametric slope values is obtained from the following: (log T)_(λ3) vs. (log T)_(λ2) and (log T)_(λ1) vs. (log T)_(λ2). In other words, each point in the graph P′ corresponds to a pair of parametric slopes calculated for a pair of wavelengths λ₃−λ₂ and λ₁−λ₂, respectively, each for a corresponding one of the time intervals Δt. Each such parametric slope is determined in the above-described manner. The MegaSlope is determined as tg(φ). A calibration curve shown in FIG. 9 b presents the MegaSlope as the function of hemoglobin concentration, i.e., MS(H).

One more important feature of the present invention consists of determining the Erythrocyte Aggregation Rate (EAR) for a specific patient. Assuming that the only process that takes place at the state of the blood flow cessation is the erythrocytes' aggregation, the EAR can be simply determined as the rate of the time changes of light response signal, i.e., ΔT/Δt (or Δ log T/Δt). To this end, the transmission as the function of time is measured with one wavelength of incident radiation. For more precise measurements, two such transmission signals as functions of time are measured with two different wavelengths of incident radiation. As for the time interval Δt, it may be either initial time interval or asymptotic time interval. The EAR parameter can be used for the determination of such an important parameter as Erythrocyte Sedimentation Rate (ESR). This is illustrated in FIG. 10, showing the EAR (Δ log T/Δt) as the function of ESR, the latter being measured in the conventional in vitro manner.

Thus, the advantages of the present invention are self-evident. We have proved that the main effect defining the optical characteristics of blood in the state of temporarily blood flow cessation is the erythrocytes' aggregation. In other words, in the asymptotic time interval, the erythrocyte serves as the sensor for the determination of the various blood parameters. The technique of the present invention, preferably performed in a non-invasive manner, but even in an invasive manner, is simpler and quicker then the conventional one. A physician can apply this technique to evaluate the various blood conditions of a patient, and then, if desired, direct him to a laboratory for more careful measurements. The parameter x(n_(Hb)−n_(pl)) can be used in the set of calibration curves for PS and MS or the combination of the both. 

1. A method for use in non-invasive measurements of chemical compositions of a patient's blood, comprising: creating a state of blood flow cessation of the patient's blood within a measurement region of the patient's body and maintaining the blood-flow cessation state during a predetermined time period which is insufficient for irreversible changes to occur in the body, thereby affecting an erythrocytes' aggregation process in the measurement location defining a change in characteristics of the patient's blood; applying an external electromagnetic field to the measurement region within said predetermined time period, and obtaining measured data representative of the time dependence of a response of the blood in the measurement region to said external electromagnetic field, the measured time dependence including an initial time period of the response variation and an asymptotic time period of relatively slow changes of the response as compared to the initial time period; and analyzing the measured data for determining one or more parameters of the patient's blood, including extracting characteristics associated with the erythrocytes aggregation process during the state of the blood flow cessation.
 2. The method according to claim 1, wherein said state of the blood flow cessation in the measurement region is provided by applying an occlusion mode to the patient's blood perfused fleshy medium.
 3. The method according to claim 2, wherein the application of the occlusion mode comprises the application of over-systolic pressure to the patient's blood perfused fleshy medium at a location upstream of said measurements region with respect to the direction of the normal blood flow in the patient's body.
 4. The method according to claim 3, and also comprising the step of preliminary optical measurements for detecting the existence of the blood flow cessation state.
 5. The method according to claim 1, wherein said predetermined period of time is from one second to several minutes.
 6. The method according to claim 1, wherein the analyzing of the measured data comprises the step of: determining a Rouleaux Geometry Factor (RGF) characterizing the changes of the response of blood in the state of blood flow cessation, associated with the erythrocytes' aggregation process, as the function of time and wavelengths of the external electromagnetic field.
 7. The method according to claim 6, wherein the determination of the RGF comprises: determining a ratio Δ(log T)/Δt as the function of wavelength λ of the external electromagnetic field obtained from the several measurement sessions with different wavelengths, T being the measured response and Δt being a preset time interval of said predetermined period of time; and determining a cut-off wavelength corresponding to the condition Δ(log T)/Δt=0.
 8. The method according to claim 7, wherein said preset time interval is the asymptotic time interval.
 9. The method according to claim 7, wherein said desired parameter to be determined is an evaluated value of a parameter (n_(Hb)−n_(pl)) for said patient, wherein n_(Hb) is the refraction index of hemoglobin in erythrocyte, and n_(pl) is the refraction index of plasma.
 10. The method according to claim 9, wherein the evaluation of the parameter (n_(Hb)−n_(pl)) comprises the utilization of theoretical data representative of a scattering function K(x(n_(Hb)−n_(pl))), wherein x=2πa/λ, a being the effective size of erythrocyte.
 11. The method according to claim 6, wherein the determination of the RGF comprises: determining a ratio or ΔT/Δt as the function of wavelength λ obtained from the several measurement sessions with different wavelengths, T being the measured response and Δt being a preset time interval of said predetermined period of time; and determining a cut-off wavelength is that corresponding to the condition or ΔT/Δt=0.
 12. The method according to claim 1, wherein the application of measurements comprises optical measurements with at least two different wavelengths of the external illumination selected in accordance with at least one desired blood parameter to be determined, the analyzing of the measured data comprises: determining a parametric slope, and using reference data in the form of a calibration curve of the parametric slope as a function of values of the desired parameter.
 13. The method according to claim 12, wherein the determination of the parametric slope comprises the determination of a function T_(λ2)(T_(λ1)), wherein T_(λ2) and T_(λ1) are the measured data corresponding to the wavelengths λ₂ and λ₁ of the incident radiation, respectively, the function T_(λ2)(T_(λ1)) being determined for a preset time interval of said predetermined time period.
 14. The method according to claim 13, wherein said preset time interval is the initial time interval.
 15. The method according to claim 13, wherein said preset time interval is the asymptotic time interval.
 16. The method according to claim 12, wherein the determination of the parametric slope comprises the determination of a function log T_(λ2)(log T_(λ1)), wherein T_(λ2) and T_(λ1) are the measured data corresponding to the wavelengths λ₂ and λ₁ of the incident radiation, respectively, the function T_(λ2)(T_(λ1)) being determined for a preset time interval of said predetermined time period.
 17. The method according to 12, wherein said desired parameter is the concentration of a certain substance in blood.
 18. The method according to claim 17, wherein said calibration curve is determined from values of the parametric slope and values of the concentration obtained for different patients.
 19. The method according to claim 17, wherein said substance is hemoglobin, the at least two wavelengths being in the ranges of about 600–1100 nm and about 1100–1400 nm.
 20. The method according to claim 17, wherein said substance is glucose, the at least two wavelengths being in the ranges of 1500–1600 nm and 600–1300 nm.
 21. The method according to claim 12, wherein said desired parameter is oxygen saturation.
 22. The method according to claim 21, wherein the at least two wavelengths are in the ranges of about 600–780 nm and about 820–980 nm.
 23. The method according to claim 21, wherein the determination of said calibration curve comprises at least one of the following: the calibration curve is determined from values of the parametric slope and values of the oxygen saturation obtained for different patients; and the calibration curve is plotted by applying to the patient's blood in the measurement region at least two multiple-occlusion measurement sessions with the at least two wavelengths, determining the parametric slope values for each occlusion, and concurrently determining the oxygen saturation in the blood perfused fleshy medium of said patient outside said measurement region.
 24. The method according to claim 1, wherein the analyzing of the measured data comprises the determination of Erythrocyte Aggregation Rate, as ΔT/Δt, where T is the measured light response for the external illumination of a certain wavelength and Δt is a preset time interval of said predetermined period of time.
 25. The method according to claim 24, wherein Δt is within the initial time interval or asymptotic time interval.
 26. The method according to claim 1, wherein said desired parameter is the concentration of a certain substance in blood.
 27. The method according to claim 26, wherein said substance is hemoglobin.
 28. The method according to claim 26, wherein said substance is glucose.
 29. The method according to claim 1, wherein said desired parameter is oxygen saturation.
 30. A method of non-invasive optical measurements in a patient's body, the method comprising: creating a state of blood flow cessation of the patient's blood within a measurement region of the patient's body and maintaining the blood-flow cessation state during a predetermined time period being insufficient for irreversible changes to occur in the body, thereby affecting an erythrocytes' aggregation process in the measurement location defining optical characteristics of blood; applying measurements to the measurement region within said predetermined time period, and obtaining measured data representative of the time dependence of a light response of the blood in the measurement region to incident light of one or more wavelengths, the measured time dependence including an initial time period of the light response variation and an asymptotic time period of relatively slow charges of the light response as compared to the initial time period; analyzing the measured data for determining one or more chemical compositions of the patient's blood, extracted from optical characteristics associated with the erythrocytes aggregation process during the state of the blood flow cessation.
 31. An apparatus for non-invasive optical measurements of chemical compositions of the patient's blood, the apparatus comprising: an occlusion assembly adapted for applying pressure to the patient's body, so as to create a state of the blood flow cessation in a measurement region in the body for a predetermined time period; illumination/detection assembly for applying optical measurements with at least two different wavelengths of incident radiation to said measurement region during said predetermined period of time, and generating data representative of light response signals; and a control unit configured to be responsive to the generated data and preprogrammed for carrying out the following: determining, from said generated data, measured data in the form of time variations of the light response signals; utilizing optical characteristics associated with erythrocytes aggregation process during the state of the blood flow cessation to analyze the measured data from within a preset time interval of said predetermined period of time and determine one or more chemical compositions of the patient's blood. 